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Coval

Coval tests voice AI agents with simulated calls, production evaluations, human QA, regression workflows, and cross-vendor comparisons.

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Coval voice agent simulation and production evaluation dashboard

Product overview

What is Coval?

Coval is a testing and evaluation platform for voice AI agents. It combines pre-production simulations, evaluations on live conversations, human quality review, observability, and regression testing in one continuous loop. Product, QA, operations, and compliance teams can use the same quality criteria before and after launch.

The simulation system runs realistic callers, policies, noisy audio, accents, interruptions, tool actions, and complex workflows at scale. Production evaluations identify drift and recurring failures in live conversations. High-stakes, failed, or low-confidence calls can be routed to human reviewers, whose judgments then improve metrics and future test suites.

How to Use Coval

  1. Connect a voice agent through a supported platform, phone endpoint, or custom webhook.
  2. Define caller personas, scenarios, policies, and behaviors that the agent must handle.
  3. Configure built-in or custom evaluation metrics.
  4. Run simulated conversations before a release and inspect failures.
  5. Apply the same metrics to production calls to detect drift.
  6. Route important calls to human QA and convert findings into regression tests.

Core Features

  • Voice simulation: Runs thousands of realistic calls with varied behavior and audio conditions.
  • Production evaluations: Measures live conversations for quality, resolution, safety, and experience.
  • Human QA: Routes selected calls to reviewers and captures their judgments.
  • Regression testing: Repeats scenarios across prompt, model, vendor, and workflow changes.
  • Behavior evaluation: Tests identity verification, escalation, information collection, grounding, and off-topic handling.
  • Vendor comparisons: Runs equivalent scenarios across multiple voice AI providers.

Use Cases

  • Pre-launch validation: Test edge cases before real customers interact with an agent.
  • Production monitoring: Detect quality drift and recurring call failures.
  • Compliance review: Verify that sensitive workflows follow required policies.
  • Vendor bakeoffs: Compare agent platforms with identical scenarios and metrics.
  • Release gating: Run voice-agent regression suites before deploying changes.

Pricing

The Starter plan costs $100 per month and includes 100 simulation minutes, 1,000 monitored calls, 30-day trace retention, unlimited seats, and 50 custom metrics. A seven-day trial is available and requires a credit card. Growth and Enterprise plans increase usage, retention, projects, controls, and support.

Frequently Asked Questions

Can Coval evaluate production calls?

Yes. Coval applies production evaluations to live conversations and surfaces failures and quality drift.

Does Coval support human review?

Yes. High-stakes, failed, and low-confidence calls can be routed to human QA.

Can it compare different voice AI vendors?

Yes. Coval can run the same scenarios across vendors for evidence-based comparison.

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